Kafka is a distributed message queue service that features high throughput and high scalability. Kafka is widely used for big data analytics such as log collection, data aggregation, streaming processing, and online and offline analysis. It is important for the big data ecosystem. This topic describes how to synchronize data from a PolarDB-O cluster to a self-managed Kafka cluster by using Data Transmission Service (DTS). The data synchronization feature allows you to extend message processing capabilities.
- The source PolarDB-O cluster uses the latest version. For more information, see Upgrade the minor version.
- The tables to be synchronized contain primary keys or UNIQUE NOT NULL indexes.
- The value of the wal_level parameter is set to logical for the source PolarDB-O cluster. This setting ensures that logical decoding is supported in write-ahead logging (WAL). For more information, see Configure cluster parameters.
- In this scenario, DTS supports only incremental data synchronization. DTS does not support initial schema synchronization or initial full data synchronization.
- A single data synchronization task can synchronize data from only one database. To synchronize data from multiple databases, you must create a data synchronization task for each database.
- To ensure that the delay time of data synchronization is accurate, DTS adds a heartbeat table named
dts_postgres_heartbeatto the source database. The following figure shows the schema of the heartbeat table.
- Purchase a data synchronization instance. For more information, see Purchase a DTS instance.
Note On the buy page, set Source Instance to PolarDB, set Target Instance to Kafka, and set Synchronization Topology to One-Way Synchronization.
- Log on to the DTS console.
- In the left-side navigation pane, click Data Synchronization.
- At the top of the Synchronization Tasks page, select the region where the destination instance resides.
- Find the data synchronization instance and click Configure Synchronization Channel in the Actions column.
- Configure the source and destination instances.
Section Parameter Description N/A Synchronization Task Name DTS automatically generates a task name. We recommend that you specify an informative name for easy identification. You do not need to use a unique task name. Source Instance Details Instance Type This parameter is set to PolarDB Instance and cannot be changed. Instance Region The source region that you selected on the buy page. You cannot change the value of this parameter. PolarDB Instance ID Select the ID of the source PolarDB-O cluster. Database Name Enter the name of the source database. Database Account Enter the privileged account of the source PolarDB-O cluster. For more information about how to create a privileged database account, see Create database accounts. Database Password Enter the password of the database account. Destination Instance Details Instance Type Select an instance type based on the deployment of the self-managed Kafka cluster. In this example, select User-Created Database with Public IP Addres.Note If you select other instance types, you must deploy the network environment for the Kafka cluster. For more information, see Preparation overview. Instance Region The destination region that you selected on the buy page. You cannot change the value of this parameter. ECS Instance ID Select the ID of the Elastic Compute Service (ECS) instance on which the Kafka cluster is deployed. Database Type Select Kafka. Port Number Enter the service port number of the Kafka cluster. The default port number is 9092. Database Account Enter the username that is used to log on to the Kafka cluster. If no authentication is enabled for the Kafka cluster, you do not need to enter the username. Database Password Enter the password that corresponds to the username. If no authentication is enabled for the Kafka cluster, you do not need to enter the password. Topic Click Get Topic List, and select a topic name from the drop-down list. Kafka Version Select the version of the self-managed Kafka cluster. Encryption Select Non-encrypted or SCRAM-SHA-256 based on your business and security requirements.
- In the lower-right corner of the page, click Set Whitelist and Next.
Note DTS adds the CIDR blocks of DTS servers to the whitelist of the PolarDB-O cluster and the inbound rule of the ECS instance. This ensures that DTS servers can connect to the source cluster and the destination instance.
- Select the objects to be synchronized.
Setting Description Select the objects to be synchronized Select one or more tables from the Available section and click the icon to move the tables to the Selected section. You can select only tables as the objects to be synchronized.Note DTS maps the table names to the topic name that you select in Step 6. If you want to change the topic name, you can move the pointer over the table and click Edit. You must specify a topic that exists in the Kafka cluster. For more information, see Specify the name of an object in the destination instance. Select the data format used in Kafka The data that is synchronized to the Kafka cluster is stored in the Avro or SharePlex JSON format. For more information, see Data formats of a Kafka cluster. Select the policy for synchronizing data to Kafka partitions Select a synchronization policy based on your business requirements. For more information, see Specify the policy for synchronizing data to Kafka partitions.
- In the lower-right corner of the page, click Next.
- Select the initial synchronization type and filter options.
Parameter Description Initial Synchronization Initial Incremental Data Synchronization is selected by default. DTS synchronizes incremental data that is generated in the source database to the destination database. Filter options Ignore DDL in incremental synchronization phase is selected by default. DTS does not synchronize data definition language (DDL) operations that are performed on the source database during incremental data synchronization.Note The setting of this parameter does not take effect. DTS does not synchronize DDL operations that are performed on the source database regardless of whether you select this option.
- In the lower-right corner of the page, click Precheck.
- Before you can start the data synchronization task, DTS performs a precheck. The data synchronization task can be started only after it passes the precheck.
- If the task fails to pass the precheck, you can click the icon next to each failed item to view details.
- You can troubleshoot the issues based on the causes and run a precheck again.
- If you do not need to troubleshoot the issues, you can ignore failed items and run a precheck again.
- Close the Precheck dialog box after the following message is displayed: The precheck is passed.
- Wait until the initial synchronization is complete and the data synchronization task is in the Synchronizing state.
On the Synchronization Tasks page, view the status of the data synchronization task.